| Date |
Speaker |
Materials
|
| 2014/10/22 |
Zhang Dong Xu |
Why RNN? PPT paper 1,paper 2
|
| 2014/12/8 |
Liu Rong |
Yu Zhao, Zhiyuan Liu, Maosong Sun. Phrase Type Sensitive Tensor Indexing Model for Semantic Composition. AAAI'15. pdf
|
| Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun. Topical Word Embeddings. AAAI'15. pdfcode
|
| Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. pdfcode
|
| 2015/07/10 |
Liu Rong |
- Context-Dependent Translation Selection Using Convolutional Neural Network [1]
- Syntax-based Deep Matching of Short Texts [2]
- Convolutional Neural Network Architectures for Matching Natural Language Sentences[3]
- LSTM: A Search Space Odyssey [4]
- A Deep Embedding Model for Co-occurrence Learning [5]
- Text segmentation based on semantic word embeddings[6]
- semantic parsing via paraphrashings[7]
|
| 2015/07/22 |
Dong Wang |
|
| 2015/07/29 |
Xiaoxi Wang |
- Sequence to Sequence Learning with Neural Networks pdf
- Neural Machine Translation by Jointly Learning to Align and Translate pdf
|
| 2015/08/05 |
Tianyi Luo |
- A Hierarchical Knowledge Representation for Expert Finding on Social Media [pdf]
|
| 2015/08/05 |
Dongxu Zhang |
- Describing Multimedia Content using Attention-based Encoder-Decoder Networks[8]
- Attention-Based Models for Speech Recognition[9] details in speech recognition.
- Neural Machine Translation by Joint Learning to Align and Translate[10] details in machine translation.
|
| 2015/08/07 |
Chao Xing |
- Neural Word Embedding as Implicit Matrix Factorization [pdf]
- Matrix factorization techniques for recommender systems [[11]]
|
